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Data Science and Machine Learning
Best CS Books
Applied Data Science (Columbia University)
Published in 2013, but still very interesting, and different from most data science books. Authors: Ian Langmore and Daniel Krasner.. This book focuses more on the statistics end of things, while also getting readers going on (basic) programming & command line skills. It doesn't, however, really go into much of the stuff you would expect to see from the machine learning end of things. Data Science Central
Machine Learning for Humans
This guide is intended to be accessible to anyone. Basic concepts in probability, statistics, programming, linear algebra, and calculus will be discussed, but it isn’t necessary to have prior knowledge of them to gain value from this series. If you're more interested in figuring out which courses to take, textbooks to read, projects to attempt, etc. Take a look at our top picks in the Appendix: The Best Machine Learning Resources. Vishal Maini
The Art of Data Science
Data analysis is hard, and part of the problem is that few people can explain how to do it. It’s not that there aren’t any people doing data analysis on a regular basis. It’s that the people who are really good at it have yet to enlightenus about the thought process that goes on in their heads.
Free Deep Learning Book (MIT Press)
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.
Machine Learning Yearning (DRAFT)
Machine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working on a machine learning application, and that you want to make rapid progress. This book will help you do so. You can sign up for the free draft book by Andrew Ng here.
Regression Models for Data Science In R
This book is written as a companion book to the Regression Models¹ Coursera class as part of the Data Science Specialization². However, if you do not take the class, the book mostly stands on its own. A useful component of the book is a series of YouTube videos that comprise the Coursera class.
Deep Learning
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.
